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Deep Learning in Selected Cancers' Image Analysis—A Survey

Taye Girma Debelee, Samuel Rahimeto Kebede, Friedhelm Schwenker, Zemene Matewos Shewarega
2020 Journal of Imaging  
Deep learning has been applied in almost all of the imaging modalities used for cervical and breast cancers and MRIs for the brain tumor.  ...  Moreover, the application of deep learning to imaging devices for the detection of various cancer cases has been studied by researchers affiliated to academic and medical institutes in economically developed  ...  Their model was pre-trained on one same domain image dataset (erythrocytesIDB dataset, which has images of peripheral blood smears samples taken from patients with Sickle Cell Disease).  ... 
doi:10.3390/jimaging6110121 pmid:34460565 fatcat:2xvx5uya25a23nxicq3hdl42hi

Healthcare Techniques Through Deep Learning: Issues, Challenges and Opportunities

Dur-E-Maknoon Nisar, Rashid Amin, Noor-Ul-Huda Shah, Mohammed A. Al Ghamdi, Sultan H. Almotiri, Meshrif Alruily
2021 IEEE Access  
Deep neural networks (DNN) are used with non-linear regression for image classification.  ...  As deep learning neural networks in image classification tasks have been proven successful and these are gradually emerging in medical image analysis.  ... 
doi:10.1109/access.2021.3095312 fatcat:3ddvsz5eozav7opv6vvanohcs4

A State-of-the-art Survey for Microorganism Image Segmentation Methods and Future Potential

Frank Kulwa, Chen Li, Xin Zhao, Bencheng Cai, Ning Xu, Shouliang Qi, Shuo Chen, Yueyang Teng
2019 IEEE Access  
classical approaches to current deep neural networks upon different challenges on microorganism images.  ...  A clear explanation of the suitability of these methods for different segmentation challenges encountered on microscopic microorganism images is also enlightened.  ...  Patrice Monkam for his proof reading work and Miss Zixian Li for her important discussion.  ... 
doi:10.1109/access.2019.2930111 fatcat:3xuu5nj7xnfdhpt6nsvrrlbe5u

Harmonic Alignment [article]

Jay S. Stanley III, Scott Gigante, Guy Wolf, Smita Krishnaswamy
2020 arXiv   pre-print
We propose a novel framework for combining datasets via alignment of their intrinsic geometry.  ...  (scATAC-seq) data measured on the same population of cells, and removal of batch effect between biological samples.  ...  For example, cycle GANs [17] are a class of deep neural network in which a generative adversarial network (GAN) is used to learn a nonlinear mapping from one domain to another, and then a second GAN  ... 
arXiv:1810.00386v4 fatcat:uuqznvio25h4bowinyy2h7hi6y

Proceedings of the 19th International Conference on Biomedical Applications of Electrical Impedance Tomography [article]

Alistair Boyle, Nick Polydorides, Jiabin Jia
2018 Zenodo  
, Edinburgh, UK This document is the collection of papers accepted for presentation at the 19th International Conference on Biomedical Applications of Electrical Impedance Tomography.  ...  Proceedings of the 19th International Conference on Biomedical Applications of ELECTRICAL IMPEDANCE TOMOGRAPHY Edited by Alistair Boyle, Nick Polydorides, Jiabin Jia June 11-13, 2018 Edinburgh University  ...  This could help us customize the image reconstruction algorithm for breast imaging.  ... 
doi:10.5281/zenodo.1306217 fatcat:2hft5xveivat5gfbptjh6l3iau

Proceedings: ISBET 200 – 14th World Congress of the International Society for Brain Electromagnetic Topography, November 19-23, 2003

Yoshio Okada
2003 Brain Topography  
Curry integrates functional imaging such as fMRI with EEG and MEG source reconstruction to allow the comparison of results and to enhance the validity of solutions.  ...  Martinos Center for Biomedical Imaging, Charlestown, Massachusetts, USA). The FreeSurfer software developed in our center allows automatic segmentation of high-resolution anatomical MRI data.  ...  corrupted by a variable amount of noise.  ... 
doi:10.1023/b:brat.0000019284.29068.8d fatcat:tpvp3dcojrczjkuzcu3xefyizy

Multi-parametric neuroimaging reproducibility: A 3-T resource study

Bennett A. Landman, Alan J. Huang, Aliya Gifford, Deepti S. Vikram, Issel Anne L. Lim, Jonathan A.D. Farrell, John A. Bogovic, Jun Hua, Min Chen, Samson Jarso, Seth A. Smith, Suresh Joel (+5 others)
2011 NeuroImage  
Additionally, it establishes a baseline for continuing development and optimization of multi-parametric imaging protocols.  ...  These analyses typically exploit carefully optimized protocols for specific imaging targets.  ...  Peter C.M. van Zijl is a paid lecturer for Philips Healthcare and has technology licensed to them.  ... 
doi:10.1016/j.neuroimage.2010.11.047 pmid:21094686 pmcid:PMC3020263 fatcat:t7k6n2dlfvcmhgs56vwed5ao6y

Towards Effective Non-Invasive Brain-Computer Interfaces Dedicated to Gait Rehabilitation Systems

Thierry Castermans, Matthieu Duvinage, Guy Cheron, Thierry Dutoit
2013 Brain Sciences  
several animal species is built starting from common primitives, perhaps related to a common ancestral neural network [30] .  ...  A growing body of evidence suggests that the patterns for stepping in mammals are produced at the spinal level by the central pattern generators network [18] .  ...  This paper presents research results of the Belgian Network DYSCO (Dynamical Systems, Control and Optimization), funded by the Interuniversity Attraction Poles Programme, initiated by the Belgian State  ... 
doi:10.3390/brainsci4010001 pmid:24961699 pmcid:PMC4066236 fatcat:apcstq54yfakzlsydlnczlfpeu

Introduction to JINS Special Issue on Human Brain Connectivity in the Modern Era: Relevance to Understanding Health and Disease

Deanna M. Barch, Mieke Verfaellie, Stephen M. Rao
2016 Journal of the International Neuropsychological Society  
Martinos Center for Biomedical Imaging at the Massachusetts General Hospital, which receives funding from P41EB015896, a Biotechnology Resource Grant supported by the National Institute of Biomedical Imaging  ...  Mapping human whole-brain structural networks with diffusion MRI. PLoS One, 2(7), e597.  ...  This also involves the analysis of the robustness or vulnerability of the markers to degrading image quality or varying numbers of available imaging modalities.  ... 
doi:10.1017/s1355617716000047 fatcat:f2preenihbes5ftkrxbo7tgt64

Advanced Photonic and Electronic Systems WILGA 2017

Ryszard S. Romaniuk
2017 International Journal of Electronics and Telecommunications  
WILGA annual symposium on advanced photonic and electronic systems has been organized by young scientist for young scientists since two decades.  ...  The article is a digest of some chosen works presented during Wilga 2017 symposium. WILGA 2017 works were published in Proc. SPIE vol.10445.  ...  Different analytic methods are used including convolutional neural networks.  ... 
doi:10.1515/eletel-2017-0060 fatcat:uaiab4wmcjb33ao32d7q4tcucq

ECR 2011 Book of Abstracts - B - Scientific Sessions

2011 Insights into Imaging  
Purpose: To compare the HCC nodule conspicuity during the arterial phase between contrast-enhanced 64-row multidetector CT with bolus tracking and MR imaging with bolus chase.  ...  CT started 18 seconds after 140 HU threshold was reached in the abdominal aorta after intravenous contrast injection (370-400 mg I/mL, 4 mL/sec at 2 mL/kg followed by 50 mL of saline flush).  ...  robust.  ... 
doi:10.1007/s13244-011-0077-4 pmid:23100071 pmcid:PMC3533624 fatcat:lytbu2vohbhhnorjqlpogl77iu

Abstracts of the Lectures During Haematocon 2013

2013 Indian Journal of Hematology and Blood Transfusion  
blood smear.  ...  A global network of cord blood banks and transplant centers has been established for a common inventory and study of clinical outcomes.  ...  Peripheral blood samples were collected at diagnosis based on clinical suspicion (sample 1), after 24 h of initiation of antibiotics (sample 2), and after 4-6 days from diagnosis (sample 3).  ... 
doi:10.1007/s12288-013-0303-y fatcat:pmhm2mkmpzhpbhozgqpjbvgyd4

Investigating the buildup of precedence effect using reflection masking

Jess Hartcher‐O'Brien, M. Buchholz, M. Buchholz
2006 Journal of the Acoustical Society of America  
The venue offers superior sound experiences to audiences of 11 000 using audio reinforcement and acoustic enhancement systems to support all types of musical performances, particularly for the resident  ...  In this research various design strategies, including utilizing the technique of a flying balcony, were examined in a 1550-seat hall with deep balcony overhangs.  ...  Optical imaging of neural activity to vocalized sounds in the guinea-pig auditory cortex.  ... 
doi:10.1121/1.4787437 fatcat:4h2rmntypzabhiivz7ddvu5uai

Predictors of auditory performance in hearing‐aid users: The role of cognitive function and auditory lifestyle

Martin D. Vestergaard
2006 Journal of the Acoustical Society of America  
Optical imaging of neural activity to vocalized sounds in the guinea-pig auditory cortex.  ...  Speed of sound decreases from 1561 m/s for healthy blood to 1545 m/s for 80% hemolysis.  ...  In order to enhance the system robustness, we will explore different adaptation algorithms that reduce the environmental variability.  ... 
doi:10.1121/1.4787675 fatcat:niry4qemhvdzvpeivahfcgd53a

Temporal processes involved in simultaneous reflection masking

Joerg M. Buchholz
2006 Journal of the Acoustical Society of America  
Optical imaging of neural activity to vocalized sounds in the guinea-pig auditory cortex.  ...  Speed of sound decreases from 1561 m/s for healthy blood to 1545 m/s for 80% hemolysis.  ...  We have previously developed an acoustic recognition capability using a novel, biologically based Dynamic Synapse Neural Network ͑DSNN͒ technology.  ... 
doi:10.1121/1.4787438 fatcat:paik6sldxff6fkga6wm7nmgp7m
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